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Edward H. Adelson. Zhang, Zhengdong, Ph.D. Massachusetts Institute of Technology Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2014-10-21T17:25:10Z 2014-10-21T17:25:10Z 2014 2014 http://hdl.handle.net/1721.1/91084 892645422 Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. 21 Cataloged from PDF version of thesis. Includes bibliographical references (pages 57-58). This thesis studies the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. Such a reflector can be interpreted as a randomized mapping from the lighting to the image. This intrinsic randomness makes it challenging for humans to interpret the image of a specular surface. We propose a system to solve it algorithmically and demonstrate how a simple yet reliable method can calibrate the proposed system and do the inference. The success of such system relies on accurate exposure of the specular surfaces. However, such objects have very distinguished optical properties compared with both diffuse surfaces and smooth specular objects like metals. So we design a special imaging system to robustly and effectively photograph them. Finally we conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline. by Zhengdong Zhang. S.M. in Computer Science and Engineering 58 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. Sparkle vision : seeing the world through random specular microfacets Seeing the world through random specular microfacets Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="8010ae5a-a97e-4029-a221-d5ebb586c7a2"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Sparkle vision : seeing the world through random specular microfacets</Title> <Subtitle>Seeing the world through random specular microfacets</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2014</PublicationDate> <Authors> <Author> <DisplayName>Zhang, Zhengdong, Ph.D. Massachusetts Institute of Technology</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>This thesis studies the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. Such a reflector can be interpreted as a randomized mapping from the lighting to the image. This intrinsic randomness makes it challenging for humans to interpret the image of a specular surface. We propose a system to solve it algorithmically and demonstrate how a simple yet reliable method can calibrate the proposed system and do the inference. The success of such system relies on accurate exposure of the specular surfaces. However, such objects have very distinguished optical properties compared with both diffuse surfaces and smooth specular objects like metals. So we design a special imaging system to robustly and effectively photograph them. Finally we conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>